Summary
Jiyoung Park is a research engineer and tech lead at NAVER with nine years of experience designing and shipping personalized recommendation systems across music, shopping, and short-form video products. She began in music information retrieval during her MS at KAIST, publishing and presenting research that she later operationalized into production recommender features at NAVER, bridging academic methods and large-scale engineering. Her work spans ranking, search modeling, data engineering, and personalized playlist and short-form content ranking, demonstrating a strong track record of moving ML ideas into user-facing systems. Colleagues rely on her ability to learn quickly, generate many practical solutions, and drive projects from prototype to production. Based in South Korea, she combines rigorous signal-processing and ML foundations with product-focused experimentation, often translating research insights into measurable improvements in engagement. An unexpected strength is her fluency across domains—from audio signal processing to shopping search—enabling cross-pollination of techniques that boost recommendation quality.
9 years of coding experience
7 years of employment as a software developer
B.S. in Electronic Physics and B.E. in Electronics Engineering, 4.25/4.5, B.S. in Electronic Physics and B.E. in Electronics Engineering, 4.25/4.5 at 한국외국어대학교
M.S. in Graduate School of Culture Technology, M.S. in Graduate School of Culture Technology at 한국과학기술원(KAIST)